{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "discover vulnerability", "trigger": true, "arguments": ["discoverer", "vulnerability", "time", "vulnerable system version", "capabilities", "common vulnerabilities and exposures", "vulnerable system owner", "supported platform"]}, {"event_type": "patch vulnerability", "trigger": true, "arguments": ["common vulnerabilities and exposures", "releaser", "vulnerability", "vulnerable system", "patch number", "vulnerable system version", "time"]}, {"event_type": "phishing", "trigger": true, "arguments": ["place", "attacker", "victim", "trusted entity", "attack pattern", "purpose"]}, {"event_type": "data breach", "trigger": true, "arguments": ["number of victim", "compromised data", "victim", "time", "attack pattern", "tool", "number of data", "damage amount", "purpose", "attacker", "place"]}, {"event_type": "ransom", "trigger": true, "arguments": ["attack pattern", "attacker", "damage amount", "place", "victim", "payment method", "tool"]}], "input": "JobStreet is informing clients by email whether they were caught up in a Malaysia - based data breach that affected 19 different companies ."}
{"discover vulnerability": [], "patch vulnerability": [], "phishing": [], "data breach": [{"trigger": "data breach", "arguments": {"number of victim": "19", "compromised data": "NAN", "victim": ["companies", "they", "clients", "JobStreet"], "time": "NAN", "attack pattern": "NAN", "tool": "NAN", "number of data": "NAN", "damage amount": "NAN", "purpose": "NAN", "attacker": "NAN", "place": "NAN"}}], "ransom": []}